Geo Maps & Stats. GeoVISTA Center. IndieMapper. Home - ChartsBin.com. Madewulf/MigrationsMap.net. HTML5: Flow map of internal migration in England & Wales. At the start of this year, I wrote a brief post on how we’ve been looking closely at the emergence of HTML5 as a visualisation platform.
This week, we’ve published the first fruit of those labours – an interactive flow map of internal migration data for England & Wales: The aim here was to really stretch the technology and give it a tough visualisation challenge to see what it’s capable of. The underlying data used in the map contains over 60,000 migration flows – yet we have still managed to produce an interactive application that will run on an iPhone.
Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them. Area Cartogram Maps Explored. Area cartogram maps are maps of non-absolute space where the areal extent is in proportion to some measured value.
Cartogram maps retain a partially accurate relative location and relative space, but the actual area of the individual polygons features are overrepresented or underrepresented based on the assigned values. Area cartograms are useful for visualizing relativity based on a common quantitative attribute such as population. Cartograms were popularized by Erwin Raisz who published the first statistical cartograms of the United States. Raisz was a professor of cartography at the Institute of Geographical Exploration at Harvard University and was most well known for his physical relief maps which were hand drawn.
In 1934, Raisz published in the journal Geographical Review an article entitled, “The rectangular statistical cartogram” which popularized the use of cartograms as an educational tool for learning about geography. Visuell, das Blog der Visualisierung. Spring Data – Part 4: Geospatial Queries with MongoDB. Introduction Every location-based service  has to solve the following problem: find all venues within a given distance from the current location of the user.
Long before the advent of mobile devices, geographic information systems (GIS)  had to deal with this (and other) problem(s). The NoSQL  datastore MongoDB  supports geospatial queries  (i.e. queries based on coordinates) out of the box. Visual Gadgets. Adds Neo4j graph database support, screencast. Neo4j is a powerful, award-wining graph database written in Java.
It can store billions of nodes and relationships and allows very fast query/traversal. We release today a new version of the Neo4j Plugin supporting the latest 1.5 version of Neo4j. In Gephi, go to Tools > Plugins to install the plug-in. The plugin let you visualize a graph stored in a Neo4j database and play with it. Features include full import, traversal, filter, export and lazy loading. InstantAtlas. Inequality Tutorial Using Instant Atlas. Guest contribution by Robert Lang.
Inequality is a topic that is increasingly being taught at key stage 3 and in other key stages particularly in GCSE and post 16 courses where comparing places in relation to standard and quality of life and inequality is important. The study of inequality based on geographical factors can involve understanding terrain, climate, culture, industry, agriculture, level of development in the region/country, remoteness, urbanization, industrialization, governmental policy measures, population, and mechanization.
Resulting inequality presents itself in the form of poverty, access to and quality of health care services, educational services, infrastructure, HDI [human development index] factors, government corruption or inefficiencies, among others. Inequality Tutorial Using Instant Atlas This tutorial looks at an interactive atlas that allows you to look at how one area (polygon) compares to other places as a whole. Clearly and Simply: Choropleth Maps. A step-by-step guide to Richard Leeke’s TabGeoHack for creating your own filled maps in Tableau Software Way back in 2009, we had a beautiful guest post by Giedre Aleknonyte describing a workaround to generate Choropleth Maps with Tableau (using version 5.0 by the way).
Those days are over. One of the major new features of Tableau 7 is Filled Maps (or Choropleth Maps as we used to call them in all blog posts here). Did I say those days are over? Well, not quite. Info.mindjet.com/FromCartographytoCardCatalogsTheHistoryofInformationOrganizationInfographic.html. In today’s information age, we enjoy all but instant digital access to the world’s collected knowledge.
MapCite is a geographic data visualization company that offers both a web mapping and Excel interface for users to analyze their location data.
MapCite is a relatively new company and current clients include the NHS and Vodafone in the UK. Oliver Jones, Head of Business Development, who led me through the demo, cautioned that MapCite is “not a GIS” and refers to the company’s products as location intelligence applications. PhiloGL: A WebGL Framework for Data Visualization, Creative Coding and Game Development. Webgl-globe - Geographic Data Visualization Platform meant for the web. Spatial Data Mining and Visual Analytics Lab. 2011年の世界の地震 分布図 World earthquakes 2011 Visualization map (2012-01-01) FusionMaps v3. FusionMaps XT offers beautiful interactive maps to plot geographical data like revenue by regions, population by state, survey and election results effectively.
You can also drop markers on the map to pinpoint places like office locations and flight routes. It has over 965 maps including all continents, major countries and all US states. (Note: FusionMaps XT does not work on zip codes or latitude/longitude, it uses an internal coordinate system to plot points.) Maps in real-life applications Individual Maps. OTR Links - Visualisation links. Spatial Data Mining and Visual Analytics Lab. OECD Statistics Explorer and Some Other Cool Shit. Kartograph aims to make interactive vector maps easier. Gregor Aisch wanted a better way to make maps online that allowed something other than the Mercator projection, so he developed his own. The result is Kartograph, a lightweight framework "for building interactive map applications without Google Maps or any other mapping service. It was created with the needs of designers and data journalists in mind. " No more tiles. The framework is still in its infancy, with not much documentation, but the map-making process seems to be straightforward.
It's basically a two-step process. How To Import Data and Make Maps with Google Fusion Tables. This GIS tutorial by Naveen Sidda looks at Google Fusions Tables, how to import geographic data from a web page, and how to create map out geographic data within Google Maps. What is Google Fusion Tables? Google Fusion Tables is a data web service which is built on the concept of cloud computing for data integration from various data sources, visualization and collaborative management. Essentially, it stores and computes on the fly without any installation and maintenance of applications on the users machines as the providers manage the infrastructure required to accomplish the task.
Interactive Infographic of the World's Best Countries. From Cartography to Card Catalogs: The History of Information Organization [Infographic] Why We Need Another Mapping Framework. Migrations Map: Where are migrants coming from? Where have migrants left? Latitude And Longitude.